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Kling

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Enables interaction with Kling AI models for video generation and avatar tasks via RunAPI, including task creation, status polling, and pricing checks.

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Описание

Enables interaction with Kling AI models for video generation and avatar tasks via RunAPI, including task creation, status polling, and pricing checks.

README

RunAPI Kling MCP Server

Kling API access for AI agents: create video generation tasks, poll results, and check pricing through one focused MCP server.

Works with Claude Code, Codex, Cursor, Windsurf, VS Code, Roo Code, and any MCP-compatible host.

npm version GitHub repository Apache-2.0 license MCP Server 13 models

Install | Tools | Models | Agent Prompts | Configuration | Links


Why This Package?

@runapi.ai/kling-mcp is a focused Model Context Protocol server for the Kling model line on RunAPI. It gives MCP-compatible assistants direct access to 4 endpoints and 13 model variants without loading the full RunAPI catalog.

Use this per-model server when an agent should stay scoped to Kling. Use @runapi.ai/mcp when one assistant should discover every RunAPI model line.


Install

Add it to Claude Code:

claude mcp add kling -s user -- npx -y @runapi.ai/kling-mcp

Use project scope when the server should be shared with a repository:

claude mcp add kling -s project -- npx -y @runapi.ai/kling-mcp

Codex, Cursor, Windsurf, VS Code, Roo Code, and other MCP hosts can use the same stdio command:

{
  "mcpServers": {
    "kling": {
      "command": "npx",
      "args": ["-y", "@runapi.ai/kling-mcp"]
    }
  }
}

check_pricing works before sign-in. For task creation and status polling, ask your assistant to call the login tool. It opens a browser login and saves credentials to ~/.config/runapi/config.json, the same file used by runapi login. Headless and CI hosts can still set RUNAPI_API_KEY before starting the MCP host.

Ready-made examples are in examples/ for Claude, Cursor, Windsurf, VS Code, and Roo Code.


Tools

Tool Auth Purpose
ai_avatar Yes Create a Kling ai avatar task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot.
image_to_video Yes Create a Kling image to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot.
motion_control Yes Create a Kling motion control task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot.
text_to_video Yes Create a Kling text to video task and optionally wait for a terminal status. Returns the task id, status, output URLs, and pricing snapshot.
get_task Yes Fetch the current status and latest payload for an existing task.
check_pricing No Look up the current pricing snapshot for a Kling model and endpoint.

Models

Kling covers 13 model variants across 4 endpoints. Each tool accepts the models listed for it:

Tool Models
ai_avatar kling-ai-avatar-pro, kling-ai-avatar-standard, kling-ai-avatar-v1-pro, kling-v1-avatar-standard
image_to_video kling-v2.1-master-image-to-video, kling-v2.1-pro, kling-v2.1-standard, kling-v2.5-turbo-image-to-video-pro, kling-v3-turbo-image-to-video
motion_control kling-3.0
text_to_video kling-3.0, kling-v2.1-master-text-to-video, kling-v2.5-turbo-text-to-video-pro, kling-v3-turbo-text-to-video

Model availability can change between releases. Use check_pricing or the Kling model page for the current catalog view.


Agent Prompts

Ask your assistant in natural language; it can inspect pricing, create the task, and return the task id plus output URLs.

Create a task

Run a Kling ai avatar task with RunAPI.

The assistant can call check_pricing, then ai_avatar, and return the task id, status, and output URLs.

Submit without waiting

Create the task but don't wait for it to finish.

The assistant calls the create tool with wait: false and returns the task id. Check on it later with get_task.

Check pricing before creating

Check current Kling pricing, then create the task if it matches my request.

The assistant calls check_pricing and can link to the Kling model page for the canonical catalog entry.


Configuration

The server resolves auth in this order:

  1. RUNAPI_API_KEY environment variable, useful for headless and CI hosts
  2. ~/.config/runapi/config.json, created by the MCP login tool or runapi login
  3. No key, which still allows check_pricing

The config file is normally managed by login. A pre-provisioned headless config can use:

{
  "apiKey": "your_runapi_key"
}

Do not commit real API keys.


Links

Resource URL
Kling model page https://runapi.ai/models/kling
npm package @runapi.ai/kling-mcp
GitHub repository runapi-ai/kling-mcp
RunAPI MCP overview runapi.ai/mcp
RunAPI docs runapi.ai/docs

License

Licensed under the Apache License, Version 2.0.

from github.com/runapi-ai/kling-mcp

Установка Kling

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/runapi-ai/kling-mcp

FAQ

Kling MCP бесплатный?

Да, Kling MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Kling?

Нет, Kling работает без API-ключей и переменных окружения.

Kling — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Kling в Claude Desktop, Claude Code или Cursor?

Открой Kling на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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